MPPT_on_SMCONTROL

图像去噪，小波硬阈值滤波，sym4小波基函数(Image denoising and hard threshold wavelet filtering, sym4 wavelet basis function )

是图像处理中常用的测试图库，非常实用,如lena图片， 青椒图片，以及zelda图片等(is the test pictures used in image processing very useful)

图像匹配，将两幅不同的角度拍的图像的对应点都找到(Corner detection)

image compression using sphit algorithm

说明：  使用pca方法对图像进行特征提取，对训练集的20个人的共一百张人脸进行训练，使用adaboost算法生成强分类器，可以对测试集的人脸图片进行识别，且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algorithm is used to generate a strong classifier, which can recognize the face images in the test set with a high recognition rate)

此程序是基于灰度共生矩阵的图像纹理特征提取算法，它进行了四个方向上的灰度共生矩阵的计算，从而得出他们的纹理特征向量，再求均值，使计算进度大幅度提高(This program is based on the GLCM texture feature extraction algorithm, which was four directions GLCM calculation to arrive at their texture feature vector, and then seek means to significantly increase computing progress)

基于多尺度MRF模型的图像分割算法。使用提升小波对原始图像进行分解，使用ICM算法进行分割处理(Multi-scale MRF model based image segmentation algorithm. The original image using lifting wavelet decomposition, the use of ICM segmentation algorithm)

首先利用形态学开运算将图像中小于结构元素的亮点去掉，利用源图像与处理后的图像作差，对差图像进行阈值分割，得到二值图像，将二值图像中的一些干扰区域去掉，提取二值图像中的圆形区域，并在源图像上对小目标进行标记，实现对圆形亮目标的检测(Remove the area in the image smaller than structural element by morphologic open operation，receive image A，original image subtract image A，threshold segmentation for difference image，receive binary image，remove the interference region in the binary image，then extract circular area，and sign the target in the original image. Realize the circular bright target detection)

可实现对残缺图像的修复，应用了基于mp算法的图像稀疏分解思想。过程中考虑到了原子库原子的能量特性......(Enables the restoration of fragmentary images, applications mp-based algorithm for image sparse decomposition ideas. The process of taking into account the characteristics of atomic energy of the atom library ......)

本文件为一个可以实现自适应滤波算法的函数。在去噪等方面有这较好应用。(This document is an adaptive filtering algorithms to achieve the function. This application has a good de-noising and so on.)